Junior Forward Deployment Engineer - TCS - Milford, OH (Onsite)

Ztek Consulting
Milford, OH, United States
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Compensation
$85,000.0 - $90,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Computer Programming Continuous Integration Data Structures Relational Databases Software Debugging DevOps Python (Programming Language)
+15 more
Software Deployment SQL Databases Systems Integration Data Processing Google Cloud Retrieval-Augmented Generation Large Language Models Prompt Engineering Generative AI Git Containerization Kubernetes Restful APIs Software Version Control Docker

Job description

Understand customer business challenges and translate them into scalable technical solutions. Design, develop, test, and deploy applications, APIs, and integrations using modern engineering practices. Build Proof of Concepts (PoCs) and rapidly prototype solutions to validate business and technical requirements. Continuously evaluate and apply emerging technologies, including AI/GenAI capabilities, to solve enterprise problems Troubleshoot application, integration, and production issues through systematic debugging and root cause analysis. Work with Cloud, Containerization, and CI/CD technologies to support production deployments. Rohit Kanojiya (678) 658-9147

Requirements

Python, SQL, REST APIs, Data Structures & Algorithms, AWS/AZURE/GCP, Docker, Kubernetes, CI/CD, Generative AI/LLM, RAG (Retrieval-Augmented Generation) Must have hands-on programming experience in Python with strong coding and debugging skills. Must have experience in SQL, data processing, and relational database concepts. Must have experience in developing and consuming REST APIs and enterprise integrations. Must have strong understanding of Data Structures, Algorithms, and Problem-solving techniques. Must have experience with Git, version control, and CI/C D practices. Must have working knowledge of Cloud Platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes). Must have 1 year experience building or supporting AI/GenAI applications using LLMs, Prompt Engineering, and RAG concepts. Must have minimum 1 year experience in application troubleshooting, testing, deployment, and production Support.

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